Super Data Science: ML & AI Podcast with Jon Krohn

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercializa

Website

Every guest on Super Data Science: ML & AI Podcast with Jon Krohn

244 guests, ranked by how many people never want them back.

—
Jeff Hancock
1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate Niederhoffer · Oct 2026

0 votes
—
Kim Stachenfeld
725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld · Oct 2023

0 votes
—
Stephanie Hare
935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare · Oct 2025

0 votes
—
Maya Ackerman
943: Creative Machines: AI in Music and Art, with Prof. Maya Ackerman · Nov 2025

0 votes
—
Akshay Agrawal
911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal · Aug 2025

0 votes
—
Kai Beckmann
875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann · Apr 2025

0 votes
—
Raluca Ada Popa
701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa) · Aug 2023

0 votes
—
Rosanne Liu
797: Deep Learning Classics and Trends, with Dr. Rosanne Liu · Jul 2024

0 votes
—
Adam Ross Nelson
780: How to Become a Data Scientist, with Dr. Adam Ross Nelson · May 2024

0 votes
—
Adrian Kosowski
929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian Kosowski · Oct 2025

0 votes
—
Aishwarya Srinivasan
1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan · Sep 2026

0 votes
—
Ajay Jain
711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain · Sep 2023

0 votes
—
Alberto Cairo
741: How to Visualize Data Effectively, with Prof. Alberto Cairo · Dec 2023

0 votes
—
Aleksa Gordić
775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić · Apr 2024

0 votes
—
Alex Pentland
949: Why AI Keeps Failing Society, with Stanford professor Alex “Sandy” Pentland · Dec 2025

0 votes
—
Alexandre Andorra
793: Bayesian Methods and Applications, with Alexandre Andorra · Jun 2024

0 votes
—
Allen Downey
715: Make Better Decisions with Data, with Dr. Allen Downey · Sep 2023

0 votes
—
Amira Abbas
721: Quantum Machine Learning, with Dr. Amira Abbas · Oct 2023

0 votes
—
Amy Blackshaw
1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw · Oct 2026

0 votes
—
Amy Hodler
923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler · Sep 2025

0 votes
—
Andrey Kurenkov
799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov · Jul 2024

0 votes
—
Andriy Burkov
867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov · Mar 2025

0 votes
—
Annie P
800: A Transformative Century of Technological Progress, with Annie P. · Jul 2024

0 votes
—
Anton McGonnell
1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell · Sep 2026

0 votes
—
Anu Jain
846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar · Dec 2024

0 votes
—
Artem Vladimirov
007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov · Oct 2016

0 votes
—
Ashwin Rajeeva
957: How AI Agents Are Automating Enterprise Data Operations, with Ashwin Rajeeva · Jan 2026

0 votes
—
Aurélien Géron
919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron · Sep 2025

0 votes
—
Avery Smith
893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith · Jun 2025

0 votes
—
Avinash Kaushik
677: Digital Analytics with Avinash Kaushik · May 2023

0 votes
—
Aziz Mamatov
027: Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov · Feb 2017

0 votes
—
Barrett Thomas
773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas · Apr 2024

0 votes
—
Beau Warren
755: Brewing Beer with A.I., with Beau Warren · Feb 2024

0 votes
—
Ben Taylor
029: Dive Into Deep Learning and Find Out Where Machines Can Outperform Humans With Ben Taylor · Feb 2017

0 votes
—
Bernard Marr
777: Generative AI in Practice, with Bernard Marr · Apr 2024

0 votes
—
Bob Knight
696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight · Jul 2023

0 votes
—
Bradley Voytek
829: Neuroscience Fueled by ML, with Prof. Bradley Voytek · Oct 2024

0 votes
—
Brendan Hogan
004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan · Oct 2016

0 votes
—
Brett Tully
533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully · Dec 2021

0 votes
—
Brooke Hopkins
857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins · Jan 2025

0 votes

Recent episodes

1042 episodes from the feed, newest first.

1041: Connection Is Not Cognition: Why Multi-Agent Systems Silently Fail, with Dr. Vijoy Pandey
with Vijoy Pandey

Nov 2026
1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw
with Amy Blackshaw

Oct 2026
1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
with John Renne

Oct 2026
1038: AI’s Contentious Math Breakthroughs
Oct 2026
1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard Socher
with Richard Socher

Oct 2026
1036: Is AI Holding Kids Back from Learning?
Oct 2026
1035: Workslop, Glass Cliffs and Inviting Your Fears to Tea, with Carly Taylor
with Carly Taylor

Oct 2026
1034: In Case You Missed It in September 2026
Oct 2026
1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate Niederhoffer
with Jeff Hancock

Oct 2026
1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael Andrew
with Michael Andrew

Oct 2026
1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah
with Tyler Cox

Sep 2026
1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak
with Gaurav Pathak

Sep 2026
1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone
with Katie Malone

Sep 2026
1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell
with Anton McGonnell

Sep 2026
1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala
with Dilani Kahawala

Sep 2026
1026: OpenAI’s GPT-6 Astra
Sep 2026
1025: Word Gravity: How Transformers Bend Space, with Dr. Luis Serrano
with Luis Serrano

Sep 2026
1024: In Case You Missed It in August 2026
Sep 2026
1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan
with Aishwarya Srinivasan

Sep 2026
1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI Agents
Aug 2026
1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy
with Tristan Handy

Aug 2026
1020: How to Choose Model Size and Effort Level: The Two Critical Dials
Aug 2026
1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)
with Priyanka Vergadia

Aug 2026
1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier Labs
Aug 2026
1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson
with Pete Johnson

Aug 2026